Zip (ASX:ZIP) is a global ‘Buy Now, Pay Later’ company that gives our millions of customers simpler and fairer ways to pay.

From day one, our mission has remained the same: to be the first payment choice everywhere and every day. Wherever we are, we give consumers, merchants and businesses access to transparent, flexible and interest-free credit.

We are proud to be a global business built around our US and ANZ core markets working with merchant partners including Amazon, Best Buy, eBay and Uber. United by our mission, purpose and values, we are driven by people-centred innovation. We are the next generation of payments, helping people across the globe to fearlessly take control of their financial future.

We are Zip, and we are just getting started.

The role of Core Product is to ensure the underlying Pay-in-4 product is well-managed and profitable. This includes optimizing the customer sign-up funnel, improving CO to App conversion, setting appropriate credit limits and spending, managing customer repayments and plans, and overseeing product profitability, including pricing.

Working in our Data Insights & Analytics team provides no shortage of opportunities to truly impact the way we operate. As a trusted strategic partner to every team across Zip, you will own all things data from data modeling and dashboard building to deep-dive analytics recommendations that truly change the game for our customers.

Interesting problems you'll get to solve

• Be responsible for a wide range of data analytics solutions across key departments with a primary focus on Product, Finance and Fraud
• Partner closely with business leaders to create and enable analytics around how Zip attracts, engages, and retains customers
• Proactively identify optimization areas and data-based recommendations for Zip’s business across all business functions
• Build and maintain data analytics dashboards and other tools (Atlan, Tableau, Amplitude) to answer critical business questions
• Bring a strong track record of analytics enablement to companies with a focus on fintech
• Connect vague business questions to data projects to create new analytics capabilities; this will require strong SQL knowledge, data modeling experience is a plus
• Work with our complex and large volume of data to understand trends, behaviors and opportunities for revenue growth
• Communicate insights with senior stakeholders and team members.
• Conduct pre and post implementation reviews and present compelling results and actionable insights
• Collaborate with the broader Data & Risk Team to share ideas and discuss analytical approaches in the interests of promoting continual development

To help us level up, you’ll bring:

• 5+ years of professional, full-time data experience, this includes experience with a coding language, SQL preferred, data modeling, and a BI tool, Tableau preferred
• An excellent addition to our culture: You believe and want to participate in a blameless culture which focuses on process and technology. You feel accountable for everything you do and that sense of urgency has been driving you your entire life. You like to have a good time while getting things done. When we say a “team player” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
• A yearning to learn new things: You know that there’s always more to learn, and it bothers you that there isn’t enough time in the day to learn about the next topic. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool. If you can handle being thrown in the deep end of the pool, this team’s for you
• The ability to solve big picture problems: Proactively identify reports, dashboards, and analysis needed by the business. Partner with Product & Engineering teams to strategize and drive user growth.
• Comfort in uncertainty: You’re comfortable in the weeds pulling, cleaning, analyzing, and transforming raw data into insightful, viz-ual findings. You conduct the necessary research when presented with open ended questions. Critical and open-ended thinking are second nature.
• The drive to seek answers in data: You are comfortable analyzing millions of transactional data points. You use data to drive decision-making and make recommendations on how to best grow the business. You work closely with leadership to identify, measure, and grow major KPIs across business lines.
• A passion for analytics: You excitedly seek opportunities to leverage Tableau. Advanced SQL is in your toolkit to solve complex business problems. You know modeling techniques and love to partner with Data Engineers. When faced with technical challenges, you take the initiative to learn new approaches.